Comparison of radiobiological effects induced by ultra-high and standard dose rate of x-rays on a radio-resistant cell line

Radiotherapy (RT) has recently evolved with the emergence of heavy ion radiations or new fractionation schemes of photon therapy, which modify the dose rate of treatment delivery. The aim of the present study was then to evaluate the in vitro influence of a ultra-high dose rate comparing them with standard dose rate. In this regard, a radioresistant SK-MEL-28 cell line were irradiated with x-ray in order to have a total dose of 2 and 4 Gy, at two different dose rate. The ultra-high dose rate is a specific property of the dense plasma focus (DPF) device, which has pulsed operation and thus gives short and highly energetic pulses of multiple types of rays and particles, in this case, we focused our study on the influence of X-rays. While a low dose rate is obtained with conventional X-ray tube. In this study it results that a ultra-high dose rate enhances radiosensitivity of melanoma cells while reducing the adhesion, proliferation and migration ability of cells.

Development of tumour imaging and therapy strategies utilising unengineered bacteria

The ability of systemically administered bacteria to target and replicate to high numbers within solid tumours is well established. Tumour localising bacteria can be exploited as biological vehicles for the delivery of nucleic acid, protein or therapeutic payloads to tumour sites and present researchers with a highly targeted and safe vehicle for tumour imaging and cancer therapy. This work aimed to utilise bacteria to activate imaging probes or prodrugs specifically within target tissue in order to facilitate the development of novel imaging and therapeutic strategies. The vast majority of existing bacterial-mediated cancer therapy strategies rely on the use of bacteria that have been genetically modified (GM) to express genes of interest. While these approaches have been shown to be effective in a preclinical setting, GM presents extra regulatory hurdles in a clinical context. Also, many strains of bacteria are not genetically tractably and hence cannot currently be engineered to express genes of interest. For this reason, the development of imaging and therapeutic systems that utilise unengineered bacteria for the activation of probes or drugs represents a significant improvement on the current gold standard. Endogenously expressed bacterial enzymes that are not found in mammalian cells can be used for the targeted activation of imaging probes or prodrugs whose activation is only achieved in the presence of these enzymes. Exploitation of the intrinsic enzymatic activity of bacteria allows the use of a wider range of bacteria and presents a more clinically relevant system than those that are currently in use. The nitroreductase (NTR) enzymes, found only in bacteria, represent one such option. Chapter 2 introduces the novel concept of utilising native bacterial NTRs for the targeted activation of the fluorophore CytoCy5S. Bacterial-mediated probe activation allowed for non-invasive fluorescence imaging of in vivo bacteria in models of infection and cancer. Chapter 3 extends the concept of using native bacterial enzymes to activate a novel luminescent, NTR activated probe. The use of luminescence based imaging improved the sensitivity of the system and provides researchers with a more accessible modality for preclinical imaging. It also represents an improvement over existing caged luciferin probe systems described to date. Chapter 4 focuses on the employment of endogenous bacterial enzymes for use in a therapeutic setting. Native bacterial enzymatic activity (including NTR enzymes) was shown to be capable of activating multiple prodrugs, in isolation and in combination, and eliciting therapeutic responses in murine models of cancer. Overall, the data presented in this thesis advance the fields of bacterial therapy and imaging and introduce novel strategies for disease diagnosis and treatment. These preclinical studies demonstrate potential for clinical translation in multiple fields of research and medicine.

IGF-1R inhibition sensitizes breast cancer cells to ATM-Related Kinase (ATR) inhibitor and cisplatin

The complexity of the IGF-1 signalling axis is clearly a roadblock in targeting this receptor in cancer therapy. Here, we sought to identify mediators of resistance, and potential co-targets for IGF-1R inhibition. By using an siRNA functional screen with the IGF-1R tyrosine kinase inhibitor (TKI) BMS-754807 in MCF-7 cells we identified several genes encoding components of the DNA damage response (DDR) pathways as mediators of resistance to IGF-1R kinase inhibition. These included ATM and Ataxia Telangiectasia and RAD3-related kinase (ATR). We also observed a clear induction of DDR in cells that were exposed to IGF-1R TKIs (BMS-754807 and OSI-906) as indicated by accumulation of γ-H2AX, and phosphorylated Chk1. Combination of the IGF-1R/IR TKIs with an ATR kinase inhibitor VE-821 resulted in additive to synergistic cytotoxicity compared to either drug alone. In MCF-7 cells with stably acquired resistance to the IGF-1R TKI (MCF-7-R), DNA damage was also observed, and again, dual inhibition of the ATR kinase and IGF-1R/IR kinase resulted in synergistic cytotoxicity. Interestingly, dual inhibition of ATR and IGF-1R was more effective in MCF-7-R cells than parental cells. IGF-1R TKIs also potentiated the effects of cisplatin in a panel of breast cancer cell lines. Overall, our findings identify induction of DDR by IGF-1R kinase inhibition as a rationale for co-targeting the IGF-1R with ATR kinase inhibitors or cisplatin, particularly in cells with acquired resistance to TKIs.

Non-pharmacological interventions for cognitive impairment due to systemic cancer treatment (Review)

Background

It is estimated that up to 75% of cancer survivors may experience cognitive impairment as a result of cancer treatment and given the increasing size of the cancer survivor population, the number of affected people is set to rise considerably in coming years. There is a need, therefore, to identify effective, non-pharmacological interventions for maintaining cognitive function or ameliorating cognitive impairment among people with a previous cancer diagnosis.
Objectives

To evaluate the cognitive effects, non-cognitive effects, duration and safety of non-pharmacological interventions among cancer patients targeted at maintaining cognitive function or ameliorating cognitive impairment as a result of cancer or receipt of systemic cancer treatment (i.e. chemotherapy or hormonal therapies in isolation or combination with other treatments).
Search methods

We searched the Cochrane Centre Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PUBMED, Cumulative Index of Nursing and Allied Health Literature (CINAHL) and PsycINFO databases. We also searched registries of ongoing trials and grey literature including theses, dissertations and conference proceedings. Searches were conducted for articles published from 1980 to 29 September 2015.
Selection criteria

Randomised controlled trials (RCTs) of non-pharmacological interventions to improve cognitive impairment or to maintain cognitive functioning among survivors of adult-onset cancers who have completed systemic cancer therapy (in isolation or combination with other treatments) were eligible. Studies among individuals continuing to receive hormonal therapy were included. We excluded interventions targeted at cancer survivors with central nervous system (CNS) tumours or metastases, non-melanoma skin cancer or those who had received cranial radiation or, were from nursing or care home settings. Language restrictions were not applied.
Data collection and analysis

Author pairs independently screened, selected, extracted data and rated the risk of bias of studies. We were unable to conduct planned meta-analyses due to heterogeneity in the type of interventions and outcomes, with the exception of compensatory strategy training interventions for which we pooled data for mental and physical well-being outcomes. We report a narrative synthesis of intervention effectiveness for other outcomes.
Main results

Five RCTs describing six interventions (comprising a total of 235 participants) met the eligibility criteria for the review. Two trials of computer-assisted cognitive training interventions (n = 100), two of compensatory strategy training interventions (n = 95), one of meditation (n = 47) and one of physical activity intervention (n = 19) were identified. Each study focused on breast cancer survivors. All five studies were rated as having a high risk of bias. Data for our primary outcome of interest, cognitive function were not amenable to being pooled statistically. Cognitive training demonstrated beneficial effects on objectively assessed cognitive function (including processing speed, executive functions, cognitive flexibility, language, delayed- and immediate- memory), subjectively reported cognitive function and mental well-being. Compensatory strategy training demonstrated improvements on objectively assessed delayed-, immediate- and verbal-memory, self-reported cognitive function and spiritual quality of life (QoL). The meta-analyses of two RCTs (95 participants) did not show a beneficial effect from compensatory strategy training on physical well-being immediately (standardised mean difference (SMD) 0.12, 95% confidence interval (CI) -0.59 to 0.83; I2= 67%) or two months post-intervention (SMD - 0.21, 95% CI -0.89 to 0.47; I2 = 63%) or on mental well-being two months post-intervention (SMD -0.38, 95% CI -1.10 to 0.34; I2 = 67%). Lower mental well-being immediately post-intervention appeared to be observed in patients who received compensatory strategy training compared to wait-list controls (SMD -0.57, 95% CI -0.98 to -0.16; I2 = 0%). We assessed the assembled studies using GRADE for physical and mental health outcomes and this evidence was rated to be low quality and, therefore findings should be interpreted with caution. Evidence for physical activity and meditation interventions on cognitive outcomes is unclear.
Authors' conclusions

Overall, the, albeit low-quality evidence may be interpreted to suggest that non-pharmacological interventions may have the potential to reduce the risk of, or ameliorate, cognitive impairment following systemic cancer treatment. Larger, multi-site studies including an appropriate, active attentional control group, as well as consideration of functional outcomes (e.g. activities of daily living) are required in order to come to firmer conclusions about the benefits or otherwise of this intervention approach. There is also a need to conduct research into cognitive impairment among cancer patient groups other than women with breast cancer.

Autophagy in photodynamic therapy

Macroautophagy (autophagy) is crucial for cell survival during starvation and plays important roles in human diseases. It is a highly conserved intracellular degradation system in eukaryotes for removal and recycling of cytoplasmic components including damaged proteins and organelles to obtain energy. The relationship between cancer and autophagy has been extensively studied in recent years. In cancer and cancer therapy, autophagy acts as a double-edged sword. Photodynamic therapy (PDT) is a kind of tumor therapy applied with a tumor-localizing photosensitizing agent which is followed by activation with the light of a specific wavelength. How much is autophagy involved in photodynamic therapy? The work in this area is still limited.

Triptolide induces cell apoptosis in human stomach cancer cell via caspase 3-dependent cascade pathway

Purpose: To evaluate the effect of triptolide on the induction of cell apoptosis in human gastric cancer BGC-823 cells. Methods: The cytotoxicity of triptolide was evaluated by 3-(4, 5-dimethylthiazol-2-yl)-2, 5- diphenyltetrazolium bromide (MTT) assay. The effect of triptolide on cell proliferation was measured using lactate dehydrogenase (LDH) assay. Cell apoptosis was determined by Annexin V/propidium iodide (PI) double-staining assay. Results: MTT results indicate that triptolide significantly decreased cancer cell numbers in dose- and time-dependent manners in MTT assay. Data from LDH assay showed that triptolide markedly induced cytotoxicity in gastric cancer cells. Triptolide also remarkably induced both early and late apoptotic process in BGC-823 cells. In addition, the compound down-regulated the expression of anti-apoptotic Bcell lymphoma-2 (bcl-2) and up-regulated the expression of pro-apoptotic BCL-2-associated X (bax) in a dose-dependent manner. Furthermore, the pro-apoptotic activity of triptolide was involved in the activation of caspase-3 pathway in BGC-823 cells. Conclusion: Taken together, the findings strongly indicates that the pro-apoptotic activity of triptolide is regulated by caspase 3-dependent cascade pathway, and thus needs to be further developed for cancer therapy.

Nickel dependent carcinogenesis and infections: structural and biophysical characterization of NDRG1 and SgSrnR

In prokaryotic organisms, lower eukaryotes and plants, some important biological reactions are catalyzed by nickel-dependent enzymes, making this metal ion essential microelement for their life. On the other hand, excessive concentration of nickel into the cell, or prolonged exposure to nickel compounds, has toxic effects in living organisms. In addition, nickel has been classified by IARC as Group I human carcinogen, because of the correlation between its inhalation and increased incidence of nasal and lung cancers. The aim of this work was to investigate the nickel impact on human health, considering both its direct role on human cells and its indirect effect as essential element for human important bacteria. In humans, nickel induces N-myc downstream regulated gene 1 (NDRG1) expression, recently proposed as new target in cancer therapy. CD, light scattering and ITC were applied on the recombinant full-length protein and its C-terminal intrinsically disordered domain, for studying the NDRG1 structural and functional properties. In particular, the fold and dynamics of the C-terminal region were examined by NMR spectroscopy and site-directed spin labeling coupled to EPR, showing the features of an intrinsically disordered region. In nickel-dependent bacteria, nickel metabolism is strictly regulated, through the activity of different transcription factors. In Streptomyces griseus the expression of two superoxide dismutases (SODs) is antagonistically regulated by nickel thanks to the transcriptional complex SgSrnR/SgSrnQ. The SgSrnR protein was heterologously expressed and its activity as possible nickel sensor studied. DNaseI footprinting and β-galactosidase gene reporter assays revealed that SgSrnR functions as transcriptional activator, prompting the hypothesis of a new model to describe the activity of this complex. In addition, ITC, NMR and X-ray crystallography demonstrated that SgSrnR presents the fold typical of ArsR/SmtB transcription factors and low metal binding affinity, non compatible with a role as a nickel-sensor, function probably played by its partner SgSrnQ.

Cancer omics strategies for personalized treatments

The Consensus Molecular Subtypes (CMSs) classification stratifies colorectal cancer (CRC) into four well-defined molecular subgroups, providing incredible support to personalized medicine. Indeed, the huge inter-patient heterogeneity observed in CRC makes it difficult to define a therapeutic strategy from which every patient can benefit. Unfortunately, so far really few targetable biomarkers are known in the CRC setting, leading to an urgent need for new targeted therapies. Here we performed a bioinformatic meta-analysis over a cohort of 1700 CMS-stratified CRC patients, identifying a negative correlation between high levels of anaplastic lymphoma kinase (ALK) expression and relapse-free survival, exclusively in the CMS1 subtype. No correlation with ALK expression was pointed out in the other three subgroups. The association of ALK with CMS1 led to generate the hypothesis that ALK pharmacological inhibition may elicit therapeutic potential in this subgroup. Thus, we tested ALK inhibitors and an ALK-directed ADC on several CRC in vitro models, stratified according to the CMS classification as well as on CRC patient-derived organoids and mice. ALK interception strongly inhibited CMS1-cells, organoids, and tumor proliferation and was responsible for the dampening of ALK activation along with the downstream. Mechanistically, we found that CMS1 cells display several mRNA copies of both ALK and ALKAL2 ligand, suggesting a role for ALK abundance in the differential response to its inhibition. Collectively, these findings support the hypothesis that ALK may represent an attractive target for CMS1 colorectal cancer therapy.

Machine learning techniques for heavy-flavour baryon production measurements at the LHC

Il quark-gluon plasma (QGP) è uno stato della materia previsto dalla cromodinamica quantistica. L’esperimento ALICE a LHC ha tra i suoi obbiettivi principali lo studio della materia fortemente interagente e le proprietà del QGP attraverso collisioni di ioni pesanti ultra-relativistici. Per un’esaustiva comprensione di tali proprietà, le stesse misure effettuate su sistemi collidenti più piccoli (collisioni protone-protone e protone-ione) sono necessarie come riferimento. Le recenti analisi dei dati raccolti ad ALICE hanno mostrato che la nostra comprensione dei meccanismi di adronizzazione di quark pesanti non è completa, perchè i dati ottenuti in collisioni pp e p-Pb non sono riproducibili utilizzando modelli basati sui risultati ottenuti con collisioni e+e− ed ep. Per questo motivo, nuovi modelli teorici e fenomenologici, in grado di riprodurre le misure sperimentali, sono stati proposti. Gli errori associati a queste nuove misure sperimentali al momento non permettono di verificare in maniera chiara la veridicità dei diversi modelli proposti. Nei prossimi anni sarà quindi fondamentale aumentare la precisione di tali misure sperimentali; d’altra parte, stimare il numero delle diverse specie di particelle prodotte in una collisione può essere estremamente complicato. In questa tesi, il numero di barioni Lc prodotti in un campione di dati è stato ottenuto utilizzando delle tecniche di machine learning, in grado di apprendere pattern e imparare a distinguere candidate di segnale da quelle di fondo. Si sono inoltre confrontate tre diverse implementazioni di un algoritmo di Boosted Decision Trees (BDT) e si è utilizzata quella più performante per ricostruire il barione Lc in collisioni pp raccolte dall’esperimento ALICE.

Beam-energy Dependence Of The Directed Flow Of Protons, Antiprotons, And Pions In Au+au Collisions.

Rapidity-odd directed flow (v1) measurements for charged pions, protons, and antiprotons near midrapidity (y=0) are reported in sNN=7.7, 11.5, 19.6, 27, 39, 62.4, and 200 GeV Au+Au collisions as recorded by the STAR detector at the Relativistic Heavy Ion Collider. At intermediate impact parameters, the proton and net-proton slope parameter dv1/dy|y=0 shows a minimum between 11.5 and 19.6 GeV. In addition, the net-proton dv1/dy|y=0 changes sign twice between 7.7 and 39 GeV. The proton and net-proton results qualitatively resemble predictions of a hydrodynamic model with a first-order phase transition from hadronic matter to deconfined matter, and differ from hadronic transport calculations.

Beam-energy Dependence Of Charge Separation Along The Magnetic Field In Au+au Collisions At Rhic.

Local parity-odd domains are theorized to form inside a quark-gluon plasma which has been produced in high-energy heavy-ion collisions. The local parity-odd domains manifest themselves as charge separation along the magnetic field axis via the chiral magnetic effect. The experimental observation of charge separation has previously been reported for heavy-ion collisions at the top RHIC energies. In this Letter, we present the results of the beam-energy dependence of the charge correlations in Au+Au collisions at midrapidity for center-of-mass energies of 7.7, 11.5, 19.6, 27, 39, and 62.4 GeV from the STAR experiment. After background subtraction, the signal gradually reduces with decreased beam energy and tends to vanish by 7.7 GeV. This implies the dominance of hadronic interactions over partonic ones at lower collision energies.

Beam Energy Dependence Of Moments Of The Net-charge Multiplicity Distributions In Au+au Collisions At Rhic.

We report the first measurements of the moments--mean (M), variance (σ(2)), skewness (S), and kurtosis (κ)--of the net-charge multiplicity distributions at midrapidity in Au+Au collisions at seven energies, ranging from sqrt[sNN]=7.7 to 200 GeV, as a part of the Beam Energy Scan program at RHIC. The moments are related to the thermodynamic susceptibilities of net charge, and are sensitive to the location of the QCD critical point. We compare the products of the moments, σ(2)/M, Sσ, and κσ(2), with the expectations from Poisson and negative binomial distributions (NBDs). The Sσ values deviate from the Poisson baseline and are close to the NBD baseline, while the κσ(2) values tend to lie between the two. Within the present uncertainties, our data do not show nonmonotonic behavior as a function of collision energy. These measurements provide a valuable tool to extract the freeze-out parameters in heavy-ion collisions by comparing with theoretical models.

S-nitrosoglutathione Accelerates Recovery From 5-fluorouracil-induced Oral Mucositis.

Mucositis induced by anti-neoplastic drugs is an important, dose-limiting and costly side-effect of cancer therapy. To evaluate the effect of the topical application of S-nitrosoglutathione (GSNO), a nitric oxide donor, on 5-fluorouracil (5-FU)-induced oral mucositis in hamsters. Oral mucositis was induced in male hamsters by two intraperitoneal administrations of 5-FU on the first and second days of the experiment (60 and 40 mg/kg, respectively) followed by mechanical trauma on the fourth day. Animals received saline, HPMC or HPMC/GSNO (0.1, 0.5 or 2.0 mM) 1 h prior to the 5-FU injection and twice a day for 10 or 14 days. Samples of cheek pouches were harvested for: histopathological analysis, TNF-α and IL-1β levels, immunohistochemical staining for iNOS, TNF-α, IL-1β, Ki67 and TGF-β RII and a TUNEL assay. The presence and levels of 39 bacterial taxa were analyzed using the Checkerboard DNA-DNA hybridization method. The profiles of NO released from the HPMC/GSNO formulations were characterized using chemiluminescence. The HPMC/GSNO formulations were found to provide sustained release of NO for more than 4 h at concentration-dependent rates of 14 to 80 nmol/mL/h. Treatment with HPMC/GSNO (0.5 mM) significantly reduced mucosal damage, inflammatory alterations and cell death associated with 5-FU-induced oral mucositis on day 14 but not on day 10. HPMC/GSNO administration also reversed the inhibitory effect of 5-FU on cell proliferation on day 14. In addition, we observed that the chemotherapy significantly increased the levels and/or prevalence of several bacterial species. Topical HPMC/GSNO accelerates mucosal recovery, reduces inflammatory parameters, speeds up re-epithelization and decreases levels of periodontopathic species in mucosal ulcers.

ΛΛ Correlation Function In Au+au Collisions At √[s(nn)]=200 gev.

We present ΛΛ correlation measurements in heavy-ion collisions for Au+Au collisions at sqrt[s_{NN}]=200  GeV using the STAR experiment at the Relativistic Heavy-Ion Collider. The Lednický-Lyuboshitz analytical model has been used to fit the data to obtain a source size, a scattering length and an effective range. Implications of the measurement of the ΛΛ correlation function and interaction parameters for dihyperon searches are discussed.